Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import openai
+from text_speech_utils import *  # Assuming this module exists for your audio functionality
+
+# Initialize app
+if 'messages' not in st.session_state:
+    st.session_state['messages'] = [{"role": "system", "content": "You are a helpful assistant."}]
+
+# Allow user to input OpenAI API Key via Streamlit text input
+openai.api_key = st.text_input("Enter your OpenAI API Key", type="password")
+
+# Display a warning if API key is not provided
+if not openai.api_key:
+    st.warning("Please enter your OpenAI API key to proceed.")
+
+# UI components
+st.title("My awesome personal assistant")
+sec = st.slider("Select number of seconds of recording", min_value=2, max_value=8, value=5)
+
+# Record audio + transcribe with Whisper + get GPT-3 response
+if st.button('Record audio'):
+    if openai.api_key:  # Proceed only if API key is provided
+        st.write("Recording...")
+        record_audio(input_audio_filename, sec)
+
+        transcription = transcribe_audio(input_audio_filename)
+        st.write(f"Me: {transcription['text']}")
+        st.session_state['messages'].append({"role": "user", "content": transcription['text']})
+
+        bot = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=st.session_state['messages'])
+        response = bot.choices[0].message.content
+        st.write(f"GPT: {response}")
+
+        save_text_as_audio(response, output_audio_filename)
+        play_audio(output_audio_filename)
+
+        st.session_state['messages'].append({"role": "assistant", "content": response})
+    else:
+        st.error("API key is required to interact with GPT.")
+
+# Download conversation button
+st.download_button(label="Download conversation", 
+                   data=pd.DataFrame(st.session_state['messages']).to_csv(index=False).encode('utf-8'), 
+                   file_name=output_conversation_filename)